Research on the Effects of Spatial Forms in Residential Blocks on Road Traffic Noise Distribution in Typical City of China
Year: 2024
Type: article
Abstract: Integrating the block system into construction is the current trend in the development of residential areas in China. Road traffic noise is the major noise source in residential blocks, and its relationship with spatial forms of blocks remains unclear. In this study, 852 block models (258 block road network models and 594 models with buildings inside) were established and simulated with SoundPLAN 8.2 software, in order to reveal the impact of spatial forms (road network morphology, neighborhood scale, and architectural texture) on the road traffic noise distribution in residential blocks. Meantime, a prediction model based on spatial morphology parameters is proposed. It was found that (1) Without considering the impact of buildings, both the road network morphology and neighborhood scale parameters have significant effects on the distribution of road traffic noise, but road network morphology has a larger effect than neighborhood scale. (2) In the presence of buildings within the block, architectural texture parameters have effects on the distribution of road traffic noise, but to a lesser extent than road network morphology and neighborhood scale parameters. (3) This research employs principal component analysis to reduce the dimensionality of urban spatial form parameters. Subsequently, a model was developed to predict overall noise exposure levels in residential areas, which was validated by example. This model can be used as a tool for rapid prediction and diagnosis of the block acoustic environment. These findings offer insights for the planning and design of residential blocks from the perspective of optimizing the acoustic environment.
Source: Buildings
Authors: Qing Yang, Mengxin Xia, Jiayu Huang
Institution: Nanjing Tech University
Language: English
Topic: Noise Effects and Management
Subfield: Speech and Hearing
Field: Health Professions
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,955
OpenAlex ID: W4401975798